Abstract
Abstract The multiresponse maximum likelihood (MML) method and statistical tests - the F-test, the t-Student test, and the sign changes test - were compared with respect to their power of discrimination between two kinetic models, the terminal and the penultimate model, for the radical copolymerization of the styrene - methyl methacrylate monomer system in bulk. The results indicate that the investigated statistical methods (except the sign changes test) are suitable for kinetic-model discrimination when they are applied to a posteriori data of copolymer composition. Although the MML method was shown to be more demanding in the error estimation of experimental data, it can serve as a proper tool for kinetic-model discrimination in copolymerization, provided the correct estimates of the ratio between errors in measured copolymer composition data are known. The main steps of the calculating scheme are given.
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